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ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
14 years 2 months ago
A novel method for learning policies from constrained motion
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
TSD
2010
Springer
13 years 5 months ago
A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
Jan Zelinka, Jan Romportl, Ludek Müller
IUI
1997
ACM
13 years 12 months ago
Inductive Task Modeling for User Interface Customization
This paper describes ActionStreams, a system for inducing task models from observations of user activity. The model can represent several task structures: hierarchy, variable sequ...
David Maulsby
IROS
2008
IEEE
121views Robotics» more  IROS 2008»
14 years 2 months ago
Learning robot motion control with demonstration and advice-operators
Abstract— As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning ...
Brenna Argall, Brett Browning, Manuela M. Veloso
ICPR
2000
IEEE
14 years 2 days ago
3-D Structures for Generic Object Recognition
We discuss the issues and challenges of generic object recognition. We argue that high-level, volumetric part-based descriptions are essential in the process of recognizing object...
Gérard G. Medioni, Alexandre R. J. Fran&cce...